Tao Wu
https://orcid.org/0000-0003-4459-2696
Research title: Optimisation Techniques for Microwave Antenna and Filter Design
Research summary
I am a final-year PhD student in Electronic Engineering at the James Watt School of Engineering, University of Glasgow, supervised by Professor Bo Liu. I hold BEng degrees in Electronic Engineering from the University of Glasgow and the University of Electronic Science and Technology of China (UESTC), and an MS in Computer Science from the Georgia Institute of Technology. I have also worked at MathWorks as a research intern.
My research lies at the intersection of artificial intelligence and radio-frequency engineering. I develop surrogate-assisted and evolutionary optimisation methods for simulation-intensive RF design, including digitally coded antennas and power amplifiers. In collaborative work on photonic filters, my contribution focuses on optimisation algorithms for grating phase-shift design, combining self-adaptive differential evolution with memetic local refinement.
I also investigate large language models for antenna modelling and engineering workflows. Our LADS study, published at EuCAP 2026, connects literature-based antenna reconstruction with parameter optimisation. Its open-source modelling component, LEAM, supports inspectable, engineer-guided workflows. Further project descriptions and research notes are available on my personal website.
Publications
Prior publications
Works published at other institutions
Article
YP Chen, T Wu, WH Tian, E Ilyukhin, KD Hyde, SSN Maharachchikumbura (2023) Comparative genomics provides new insights into the evolution of Colletotrichum Mycosphere WU Tao. ISSN 2077-7019 (doi: 10.5943/mycosphere/si/1f/5)
Tao Wu, Yanpeng Chen, Sajeewa S. N. Maharachchikumbura (2021) The complete mitochondrial genome of Gymnobelideus leadbeateri (Mammalia: Petauridae) Mitochondrial DNA Part B WU Tao. ISSN 2380-2359 (doi: 10.1080/23802359.2021.1875919)
Book Section
Tao Wu, Xuefeng Zan, Lei Xu, Yuang Chen, Kai Liu (2022) Fair Food Delivery Trading System Based on Edge Computing and Stackelberg Game Edge Computing – EDGE 2022 WU Tao. ISBN 9783031234705 ISSN 1611-3349 (doi: 10.1007/978-3-031-23470-5_2)
Grants
- MathWorks Industry Scholarship (Fully funded with stipend) 2023-2027
Additional information
Selected awards
- Best Paper Award, EDGE 2022.
- Finalist, Mathematical Contest in Modeling (MCM), 2021.
